Software Engineer - Data Infrastructure
Maxima.ai· Engineering & Product
San MateoFull-timePosted 9mo ago
About the role
Data Infrastructure Software Engineer focused on designing and scaling Maxima's data lakes, multi-tenant relational databases, and search/vector infrastructure to support accounting workflows and AI agents.
Responsibilities
- Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems
- Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching
- Evaluate and build the right search engine and vector database setup to support agent and accounting workflows
- Design durable, highly available financial data processing layers that the agents depend on
- Own the reliability, observability, and performance of the data platform as customer volume grows
- Work with the AI Agents and product engineering teams so the platform serves what they are building
Qualifications
- 5 or more years working with data systems at high-growth companies
- Strong experience with relational databases and data modeling
- Experience building and operating data pipelines and distributed, data-intensive systems
- Familiarity with web development and cloud infrastructure such as GCP
- Care about correctness; you have worked on systems where the numbers have to be right
- Strong communication and collaboration skills
Skills
Required:Data modelingRelational databasesData pipelinesDistributed systemsCloud infrastructure
Benefits
- Competitive salary
- 401(k) for US employees
- unlimited PTO
- lunch in the office
- commuter benefits
Last updated Sep 23, 2026. Interested? Apply on the company site.
About Maxima.ai
AI Accounting Automation for Enterprises
Maxima automates accounting with agentic AI—journals, reconciliations, and flux analysis—delivering a SOX-compliant, real-time close for enterprise finance teams.
accountingAIenterprise
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